Visualizing Multidimensional Data in Python

@tachyeonz : Nearly everyone is familiar with two-dimensional plots, and most college students in the hard sciences are familiar with three dimensional plots. However, modern datasets are rarely two- or three-dimensional.

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Scaling Airbnb’s Experimentation Platform

@tachyeonz : At Airbnb, we are constantly iterating on the user experience and product features. This can include changes to the look and feel of the website or native apps, optimizations for our smart pricing and search ranking algorithms, or even targeting the right content and timing for our email campaigns.

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RAW Data Visualization: Dendrograms

@tachyeonz : A dendrogram is a tree diagram that is usually used for showing taxonomic relationships, but any data that lends itself to hierarchical data clustering can be displayed using a dendrogram. RAWGraphs offers two variations on dendrograms: the circular dendrogram and the cluster dendrogram.

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Exploring the Structure of High-Dimensional Data with HyperTools in Kaggle Kernels

@tachyeonz : The datasets we encounter as scientists, analysts, and data nerds are increasingly complex. Much of machine learning is focused on extracting meaning from complex data.

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Introducing GE’s data visualization framework for IoT

@tachyeonz : I’d like to introduce you to the Predix Visualization Framework (aka Px-vis) , a charting framework designed and developed by the Predix Design System team in order to meet the needs of users and developers of industrial internet apps.

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Gender and verbs across 100,000 stories: a tidy analysis

@tachyeonz : I was fascinated by my colleague Julia Silge’s recent blog post on what verbs tend to occur after “he” or “she” in several novels, and what they might imply about gender roles within fictional work. This made me wonder what trends could be found across a larger dataset of stories.

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Full Test : candlestick made by Jackluo : plotly

@tachyeonz : Jackluo’s interactive graph and data of “Full Test” is a candlestick, showing Full Test, MA(20), SMA(20), EMA(26), WMA(20), DEMA(26), TEMA(26), T3(20, 0.7), KAMA(20), TRIMA(20), MAMA(0.5,0.05), FAMA(0.5,0.05), MIDPOINT(14), BBANDS(20,2,2)[Upper], BBANDS(20,2,2), BBANDS(20,2,2)[Lower], SAR(0.02,0.

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Visualizing High-Dimensional Data in the Browser with SVD, t-SNE and Three.js

@tachyeonz : Category:

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Python for big data

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Data Visualization Advice for Scientists

@tachyeonz : Editor’s Note: The following is a guest post from Robert Simmon, a data visualization engineer at Planet Labs, and previously the lead visualizer at NASA’s Earth Observatory. At heart, design is the discipline of clear visual communication.

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Plotting timeseries in space filling curves

@tachyeonz : Fitting many timeseries in the same area and formatting them for quick comparison is challenging and an important problem.

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Visualizing Data Using t-SNE

@tachyeonz : Google Tech TalkJune 24, 2013(more info below)Presented by Laurens van der Maaten, Delft University of Technology, The NetherlandsABSTRACTVisualization techniques are essential tools for every data scientist. Unfortunately, the majority of visualization techniques can only be used to inspect a limit

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